Overview

Brought to you by YData

Dataset statistics

Number of variables20
Number of observations80064
Missing cells632892
Missing cells (%)39.5%
Duplicate rows242
Duplicate rows (%)0.3%
Total size in memory12.2 MiB
Average record size in memory160.0 B

Variable types

DateTime1
Categorical1
Numeric17
Unsupported1

Alerts

Dataset has 242 (0.3%) duplicate rowsDuplicates
CO is highly overall correlated with CO 8hrHigh correlation
CO 8hr is highly overall correlated with COHigh correlation
NO2 is highly overall correlated with PM10 and 1 other fieldsHigh correlation
O3 is highly overall correlated with O3 8hrHigh correlation
O3 8hr is highly overall correlated with O3High correlation
PM10 is highly overall correlated with NO2 and 2 other fieldsHigh correlation
PM2.5 is highly overall correlated with NO2 and 2 other fieldsHigh correlation
RH is highly overall correlated with Solar RadHigh correlation
Rain is highly overall correlated with V Wind SpeedHigh correlation
Solar Rad is highly overall correlated with RHHigh correlation
V Wind Speed is highly overall correlated with PM10 and 2 other fieldsHigh correlation
Time has 8472 (10.6%) missing values Missing
SO2 has 52382 (65.4%) missing values Missing
NO has 24494 (30.6%) missing values Missing
NO2 has 24252 (30.3%) missing values Missing
NOX has 23096 (28.8%) missing values Missing
CO has 35273 (44.1%) missing values Missing
CO 8hr has 35580 (44.4%) missing values Missing
O3 has 39543 (49.4%) missing values Missing
O3 8hr has 42427 (53.0%) missing values Missing
PM2.5 has 29501 (36.8%) missing values Missing
PM10 has 28330 (35.4%) missing values Missing
Wind Speed has 26462 (33.1%) missing values Missing
Wind Dir has 27579 (34.4%) missing values Missing
Temperature has 26868 (33.6%) missing values Missing
RH has 26678 (33.3%) missing values Missing
Solar Rad has 26690 (33.3%) missing values Missing
BP has 31754 (39.7%) missing values Missing
Rain has 51172 (63.9%) missing values Missing
V Wind Speed has 72339 (90.4%) missing values Missing
Time is uniformly distributed Uniform
NOX is an unsupported type, check if it needs cleaning or further analysis Unsupported

Reproduction

Analysis started2025-02-06 12:12:08.055239
Analysis finished2025-02-06 12:13:14.583409
Duration1 minute and 6.53 seconds
Software versionydata-profiling vv4.12.2
Download configurationconfig.json

Variables

Date
Date

Distinct3223
Distinct (%)4.0%
Missing0
Missing (%)0.0%
Memory size625.6 KiB
Minimum2012-11-01 00:00:00
Maximum2021-12-20 00:00:00
Invalid dates0
Invalid dates (%)0.0%
2025-02-06T18:13:14.734480image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-02-06T18:13:15.016030image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

Time
Categorical

Missing  Uniform 

Distinct24
Distinct (%)< 0.1%
Missing8472
Missing (%)10.6%
Memory size625.6 KiB
02:00
 
2983
03:00
 
2983
04:00
 
2983
05:00
 
2983
06:00
 
2983
Other values (19)
56677 

Length

Max length5
Median length5
Mean length5
Min length5

Characters and Unicode

Total characters357960
Distinct characters11
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row01:00
2nd row02:00
3rd row03:00
4th row04:00
5th row05:00

Common Values

ValueCountFrequency (%)
02:00 2983
 
3.7%
03:00 2983
 
3.7%
04:00 2983
 
3.7%
05:00 2983
 
3.7%
06:00 2983
 
3.7%
07:00 2983
 
3.7%
08:00 2983
 
3.7%
01:00 2983
 
3.7%
09:00 2983
 
3.7%
10:00 2983
 
3.7%
Other values (14) 41762
52.2%
(Missing) 8472
 
10.6%

Length

2025-02-06T18:13:15.250921image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
02:00 2983
 
4.2%
03:00 2983
 
4.2%
04:00 2983
 
4.2%
05:00 2983
 
4.2%
06:00 2983
 
4.2%
07:00 2983
 
4.2%
08:00 2983
 
4.2%
01:00 2983
 
4.2%
09:00 2983
 
4.2%
10:00 2983
 
4.2%
Other values (14) 41762
58.3%

Most occurring characters

ValueCountFrequency (%)
0 175997
49.2%
: 71592
20.0%
1 38779
 
10.8%
2 23864
 
6.7%
3 8949
 
2.5%
4 8949
 
2.5%
5 5966
 
1.7%
6 5966
 
1.7%
7 5966
 
1.7%
8 5966
 
1.7%

Most occurring categories

ValueCountFrequency (%)
(unknown) 357960
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
0 175997
49.2%
: 71592
20.0%
1 38779
 
10.8%
2 23864
 
6.7%
3 8949
 
2.5%
4 8949
 
2.5%
5 5966
 
1.7%
6 5966
 
1.7%
7 5966
 
1.7%
8 5966
 
1.7%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 357960
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
0 175997
49.2%
: 71592
20.0%
1 38779
 
10.8%
2 23864
 
6.7%
3 8949
 
2.5%
4 8949
 
2.5%
5 5966
 
1.7%
6 5966
 
1.7%
7 5966
 
1.7%
8 5966
 
1.7%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 357960
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
0 175997
49.2%
: 71592
20.0%
1 38779
 
10.8%
2 23864
 
6.7%
3 8949
 
2.5%
4 8949
 
2.5%
5 5966
 
1.7%
6 5966
 
1.7%
7 5966
 
1.7%
8 5966
 
1.7%

SO2
Real number (ℝ)

Missing 

Distinct2270
Distinct (%)8.2%
Missing52382
Missing (%)65.4%
Infinite0
Infinite (%)0.0%
Mean4.5871826
Minimum0.01
Maximum108.89
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size625.6 KiB
2025-02-06T18:13:15.466319image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0.01
5-th percentile0.54
Q11.72
median2.96
Q35.32
95-th percentile13.2
Maximum108.89
Range108.88
Interquartile range (IQR)3.6

Descriptive statistics

Standard deviation5.3174069
Coefficient of variation (CV)1.159188
Kurtosis22.615998
Mean4.5871826
Median Absolute Deviation (MAD)1.57
Skewness3.6966596
Sum126982.39
Variance28.274816
MonotonicityNot monotonic
2025-02-06T18:13:15.725477image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.89 94
 
0.1%
0.99 90
 
0.1%
0.91 86
 
0.1%
1.98 83
 
0.1%
2.2 79
 
0.1%
0.92 78
 
0.1%
2.56 77
 
0.1%
1.02 77
 
0.1%
1 76
 
0.1%
1.03 76
 
0.1%
Other values (2260) 26866
33.6%
(Missing) 52382
65.4%
ValueCountFrequency (%)
0.01 8
 
< 0.1%
0.03 1
 
< 0.1%
0.05 34
< 0.1%
0.06 29
< 0.1%
0.07 34
< 0.1%
0.08 32
< 0.1%
0.09 31
< 0.1%
0.1 27
< 0.1%
0.11 27
< 0.1%
0.12 25
< 0.1%
ValueCountFrequency (%)
108.89 1
< 0.1%
90.59 1
< 0.1%
57.79 1
< 0.1%
52.62 1
< 0.1%
50.51 1
< 0.1%
49.89 1
< 0.1%
49.59 1
< 0.1%
48.76 1
< 0.1%
48.46 1
< 0.1%
46.95 1
< 0.1%

NO
Real number (ℝ)

Missing 

Distinct7505
Distinct (%)13.5%
Missing24494
Missing (%)30.6%
Infinite0
Infinite (%)0.0%
Mean14.741531
Minimum0.05
Maximum398.6
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size625.6 KiB
2025-02-06T18:13:15.972787image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0.05
5-th percentile1.09
Q12.85
median4.27
Q38.76
95-th percentile70.85
Maximum398.6
Range398.55
Interquartile range (IQR)5.91

Descriptive statistics

Standard deviation34.099895
Coefficient of variation (CV)2.3131854
Kurtosis31.768309
Mean14.741531
Median Absolute Deviation (MAD)1.9
Skewness5.0555766
Sum819186.88
Variance1162.8028
MonotonicityNot monotonic
2025-02-06T18:13:16.215129image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
3.01 156
 
0.2%
3.22 153
 
0.2%
3.07 150
 
0.2%
3.14 149
 
0.2%
3.13 149
 
0.2%
2.99 147
 
0.2%
2.85 146
 
0.2%
3.03 142
 
0.2%
3.06 141
 
0.2%
3.09 140
 
0.2%
Other values (7495) 54097
67.6%
(Missing) 24494
30.6%
ValueCountFrequency (%)
0.05 86
0.1%
0.06 78
0.1%
0.07 78
0.1%
0.08 81
0.1%
0.09 55
0.1%
0.1 59
0.1%
0.11 64
0.1%
0.12 59
0.1%
0.13 51
0.1%
0.14 46
0.1%
ValueCountFrequency (%)
398.6 1
< 0.1%
398.28 1
< 0.1%
397.46 1
< 0.1%
391.02 1
< 0.1%
390.17 1
< 0.1%
389.16 1
< 0.1%
388.52 1
< 0.1%
385.77 1
< 0.1%
385.1 1
< 0.1%
381.28 1
< 0.1%

NO2
Real number (ℝ)

High correlation  Missing 

Distinct4190
Distinct (%)7.5%
Missing24252
Missing (%)30.3%
Infinite0
Infinite (%)0.0%
Mean10.361009
Minimum0.01
Maximum139.35
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size625.6 KiB
2025-02-06T18:13:16.486987image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0.01
5-th percentile1.76
Q15.05
median8.11
Q313.12
95-th percentile26.84
Maximum139.35
Range139.34
Interquartile range (IQR)8.07

Descriptive statistics

Standard deviation8.3198672
Coefficient of variation (CV)0.80299776
Kurtosis12.072837
Mean10.361009
Median Absolute Deviation (MAD)3.67
Skewness2.3410237
Sum578268.65
Variance69.220191
MonotonicityNot monotonic
2025-02-06T18:13:16.732735image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
6.12 71
 
0.1%
5.9 66
 
0.1%
6.37 64
 
0.1%
5.56 64
 
0.1%
5.28 63
 
0.1%
6.05 61
 
0.1%
7.11 60
 
0.1%
6.21 59
 
0.1%
5.92 59
 
0.1%
6.59 59
 
0.1%
Other values (4180) 55186
68.9%
(Missing) 24252
30.3%
ValueCountFrequency (%)
0.01 3
 
< 0.1%
0.03 1
 
< 0.1%
0.04 1
 
< 0.1%
0.05 20
< 0.1%
0.06 19
< 0.1%
0.07 21
< 0.1%
0.08 28
< 0.1%
0.09 17
< 0.1%
0.1 23
< 0.1%
0.11 18
< 0.1%
ValueCountFrequency (%)
139.35 1
< 0.1%
137.33 1
< 0.1%
137.18 1
< 0.1%
134.37 1
< 0.1%
132.08 1
< 0.1%
128.02 1
< 0.1%
126.56 1
< 0.1%
120.55 1
< 0.1%
105.53 1
< 0.1%
97.47 1
< 0.1%

NOX
Unsupported

Missing  Rejected  Unsupported 

Missing23096
Missing (%)28.8%
Memory size625.6 KiB

CO
Real number (ℝ)

High correlation  Missing 

Distinct1538
Distinct (%)3.4%
Missing35273
Missing (%)44.1%
Infinite0
Infinite (%)0.0%
Mean2.4793242
Minimum0.03
Maximum24.88
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size625.6 KiB
2025-02-06T18:13:17.059897image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0.03
5-th percentile0.3
Q10.84
median1.73
Q33.17
95-th percentile6.49
Maximum24.88
Range24.85
Interquartile range (IQR)2.33

Descriptive statistics

Standard deviation2.7240734
Coefficient of variation (CV)1.0987161
Kurtosis17.794206
Mean2.4793242
Median Absolute Deviation (MAD)1.06
Skewness3.542642
Sum111051.41
Variance7.4205758
MonotonicityNot monotonic
2025-02-06T18:13:17.351341image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.35 237
 
0.3%
0.33 224
 
0.3%
0.32 222
 
0.3%
0.27 220
 
0.3%
0.25 209
 
0.3%
0.34 206
 
0.3%
0.31 206
 
0.3%
0.3 205
 
0.3%
0.4 204
 
0.3%
0.37 202
 
0.3%
Other values (1528) 42656
53.3%
(Missing) 35273
44.1%
ValueCountFrequency (%)
0.03 2
 
< 0.1%
0.05 12
 
< 0.1%
0.06 19
< 0.1%
0.07 14
 
< 0.1%
0.08 13
 
< 0.1%
0.09 20
< 0.1%
0.1 25
< 0.1%
0.11 26
< 0.1%
0.12 24
< 0.1%
0.13 37
< 0.1%
ValueCountFrequency (%)
24.88 1
< 0.1%
24.53 1
< 0.1%
24.45 1
< 0.1%
24.16 1
< 0.1%
24.12 1
< 0.1%
24.09 1
< 0.1%
23.82 1
< 0.1%
23.45 1
< 0.1%
23.37 1
< 0.1%
23.3 1
< 0.1%

CO 8hr
Real number (ℝ)

High correlation  Missing 

Distinct917
Distinct (%)2.1%
Missing35580
Missing (%)44.4%
Infinite0
Infinite (%)0.0%
Mean2.2217388
Minimum0.07
Maximum10.61
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size625.6 KiB
2025-02-06T18:13:17.611940image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0.07
5-th percentile0.33
Q10.86
median1.74
Q33.15
95-th percentile5.68
Maximum10.61
Range10.54
Interquartile range (IQR)2.29

Descriptive statistics

Standard deviation1.719676
Coefficient of variation (CV)0.77402258
Kurtosis1.1203675
Mean2.2217388
Median Absolute Deviation (MAD)1.04
Skewness1.1723602
Sum98831.83
Variance2.9572856
MonotonicityNot monotonic
2025-02-06T18:13:17.827625image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.31 227
 
0.3%
0.37 214
 
0.3%
0.33 209
 
0.3%
0.35 203
 
0.3%
0.32 200
 
0.2%
0.68 195
 
0.2%
0.43 193
 
0.2%
0.3 191
 
0.2%
0.38 187
 
0.2%
0.28 186
 
0.2%
Other values (907) 42479
53.1%
(Missing) 35580
44.4%
ValueCountFrequency (%)
0.07 1
 
< 0.1%
0.08 2
 
< 0.1%
0.1 2
 
< 0.1%
0.11 8
 
< 0.1%
0.12 9
 
< 0.1%
0.13 10
 
< 0.1%
0.14 23
< 0.1%
0.15 20
< 0.1%
0.16 38
< 0.1%
0.17 44
0.1%
ValueCountFrequency (%)
10.61 2
< 0.1%
10.58 1
< 0.1%
10.44 1
< 0.1%
10.34 1
< 0.1%
10.06 1
< 0.1%
9.93 1
< 0.1%
9.88 1
< 0.1%
9.86 1
< 0.1%
9.77 1
< 0.1%
9.74 2
< 0.1%

O3
Real number (ℝ)

High correlation  Missing 

Distinct4421
Distinct (%)10.9%
Missing39543
Missing (%)49.4%
Infinite0
Infinite (%)0.0%
Mean9.5108294
Minimum0.05
Maximum97.02
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size625.6 KiB
2025-02-06T18:13:18.112450image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0.05
5-th percentile0.34
Q12.68
median5.35
Q313.07
95-th percentile31.95
Maximum97.02
Range96.97
Interquartile range (IQR)10.39

Descriptive statistics

Standard deviation10.367884
Coefficient of variation (CV)1.0901135
Kurtosis3.7394822
Mean9.5108294
Median Absolute Deviation (MAD)3.69
Skewness1.8485649
Sum385388.32
Variance107.49302
MonotonicityNot monotonic
2025-02-06T18:13:18.348826image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.05 309
 
0.4%
0.06 209
 
0.3%
0.08 136
 
0.2%
0.07 123
 
0.2%
0.09 94
 
0.1%
0.1 81
 
0.1%
2.97 76
 
0.1%
3.01 70
 
0.1%
3.3 68
 
0.1%
2.87 68
 
0.1%
Other values (4411) 39287
49.1%
(Missing) 39543
49.4%
ValueCountFrequency (%)
0.05 309
0.4%
0.06 209
0.3%
0.07 123
 
0.2%
0.08 136
0.2%
0.09 94
 
0.1%
0.1 81
 
0.1%
0.11 65
 
0.1%
0.12 57
 
0.1%
0.13 65
 
0.1%
0.14 65
 
0.1%
ValueCountFrequency (%)
97.02 1
< 0.1%
85.88 1
< 0.1%
79.02 1
< 0.1%
77.34 1
< 0.1%
76.85 1
< 0.1%
74.69 1
< 0.1%
74.67 1
< 0.1%
74.57 1
< 0.1%
74.45 1
< 0.1%
74.3 1
< 0.1%

O3 8hr
Real number (ℝ)

High correlation  Missing 

Distinct4047
Distinct (%)10.8%
Missing42427
Missing (%)53.0%
Infinite0
Infinite (%)0.0%
Mean10.089806
Minimum0.05
Maximum69.97
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size625.6 KiB
2025-02-06T18:13:19.146233image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0.05
5-th percentile0.67
Q13.53
median7.06
Q314.08
95-th percentile29.43
Maximum69.97
Range69.92
Interquartile range (IQR)10.55

Descriptive statistics

Standard deviation9.1811368
Coefficient of variation (CV)0.90994185
Kurtosis2.6167795
Mean10.089806
Median Absolute Deviation (MAD)4.39
Skewness1.5614837
Sum379750.03
Variance84.293272
MonotonicityNot monotonic
2025-02-06T18:13:19.459896image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.06 81
 
0.1%
4.08 74
 
0.1%
0.44 69
 
0.1%
0.43 68
 
0.1%
0.42 64
 
0.1%
4.09 63
 
0.1%
4.1 62
 
0.1%
0.45 59
 
0.1%
0.46 54
 
0.1%
0.07 54
 
0.1%
Other values (4037) 36989
46.2%
(Missing) 42427
53.0%
ValueCountFrequency (%)
0.05 19
 
< 0.1%
0.06 81
0.1%
0.07 54
0.1%
0.08 49
0.1%
0.09 26
 
< 0.1%
0.1 25
 
< 0.1%
0.11 21
 
< 0.1%
0.12 16
 
< 0.1%
0.13 14
 
< 0.1%
0.14 13
 
< 0.1%
ValueCountFrequency (%)
69.97 1
< 0.1%
68.96 1
< 0.1%
68.57 1
< 0.1%
65.01 1
< 0.1%
64.19 1
< 0.1%
63.73 1
< 0.1%
63.45 1
< 0.1%
62.14 1
< 0.1%
61.42 1
< 0.1%
60.66 1
< 0.1%

PM2.5
Real number (ℝ)

High correlation  Missing 

Distinct14243
Distinct (%)28.2%
Missing29501
Missing (%)36.8%
Infinite0
Infinite (%)0.0%
Mean54.052198
Minimum0.02
Maximum985
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size625.6 KiB
2025-02-06T18:13:19.940277image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0.02
5-th percentile7
Q117.22
median34.86
Q371.505
95-th percentile165.717
Maximum985
Range984.98
Interquartile range (IQR)54.285

Descriptive statistics

Standard deviation55.517603
Coefficient of variation (CV)1.0271109
Kurtosis15.376845
Mean54.052198
Median Absolute Deviation (MAD)21.87
Skewness2.6554874
Sum2733041.3
Variance3082.2042
MonotonicityNot monotonic
2025-02-06T18:13:20.340575image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
6 208
 
0.3%
8 183
 
0.2%
12 180
 
0.2%
11 178
 
0.2%
17 155
 
0.2%
10 155
 
0.2%
7 154
 
0.2%
13 142
 
0.2%
9 142
 
0.2%
5 140
 
0.2%
Other values (14233) 48926
61.1%
(Missing) 29501
36.8%
ValueCountFrequency (%)
0.02 1
 
< 0.1%
0.03 1
 
< 0.1%
0.05 1
 
< 0.1%
0.06 1
 
< 0.1%
0.08 1
 
< 0.1%
0.11 1
 
< 0.1%
0.14 2
< 0.1%
0.17 3
< 0.1%
0.41 1
 
< 0.1%
0.97 1
 
< 0.1%
ValueCountFrequency (%)
985 6
< 0.1%
543.87 1
 
< 0.1%
543.71 1
 
< 0.1%
496.01 1
 
< 0.1%
487.29 1
 
< 0.1%
464.95 1
 
< 0.1%
459.84 1
 
< 0.1%
459.13 1
 
< 0.1%
456.47 1
 
< 0.1%
451.59 1
 
< 0.1%

PM10
Real number (ℝ)

High correlation  Missing 

Distinct19264
Distinct (%)37.2%
Missing28330
Missing (%)35.4%
Infinite0
Infinite (%)0.0%
Mean99.414747
Minimum0.17
Maximum985
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size625.6 KiB
2025-02-06T18:13:20.710241image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0.17
5-th percentile18.87
Q140.03
median70.925
Q3129.4975
95-th percentile269.4435
Maximum985
Range984.83
Interquartile range (IQR)89.4675

Descriptive statistics

Standard deviation90.992499
Coefficient of variation (CV)0.9152817
Kurtosis13.658367
Mean99.414747
Median Absolute Deviation (MAD)37.925
Skewness2.7853591
Sum5143122.5
Variance8279.6348
MonotonicityNot monotonic
2025-02-06T18:13:20.995359image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
27 81
 
0.1%
38 77
 
0.1%
31 63
 
0.1%
35 63
 
0.1%
34 59
 
0.1%
32 59
 
0.1%
26 58
 
0.1%
37 57
 
0.1%
29 55
 
0.1%
44 54
 
0.1%
Other values (19254) 51108
63.8%
(Missing) 28330
35.4%
ValueCountFrequency (%)
0.17 1
< 0.1%
0.23 1
< 0.1%
1.72 1
< 0.1%
2.46 1
< 0.1%
3.5 1
< 0.1%
4.45 1
< 0.1%
5.06 1
< 0.1%
6.04 1
< 0.1%
6.12 1
< 0.1%
6.69 1
< 0.1%
ValueCountFrequency (%)
985 42
0.1%
919.22 1
 
< 0.1%
864.22 1
 
< 0.1%
860.84 1
 
< 0.1%
856 1
 
< 0.1%
852.59 1
 
< 0.1%
852.35 1
 
< 0.1%
828.45 1
 
< 0.1%
827.04 1
 
< 0.1%
823.12 1
 
< 0.1%

Wind Speed
Real number (ℝ)

Missing 

Distinct901
Distinct (%)1.7%
Missing26462
Missing (%)33.1%
Infinite0
Infinite (%)0.0%
Mean2.0520137
Minimum0
Maximum12.99
Zeros1
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size625.6 KiB
2025-02-06T18:13:21.277044image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.42
Q10.76
median1.82
Q32.9
95-th percentile4.77
Maximum12.99
Range12.99
Interquartile range (IQR)2.14

Descriptive statistics

Standard deviation1.4814041
Coefficient of variation (CV)0.72192698
Kurtosis2.0694579
Mean2.0520137
Median Absolute Deviation (MAD)1.07
Skewness1.172472
Sum109992.04
Variance2.194558
MonotonicityNot monotonic
2025-02-06T18:13:21.606012image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.46 913
 
1.1%
0.47 902
 
1.1%
0.45 812
 
1.0%
0.48 772
 
1.0%
0.44 701
 
0.9%
0.43 579
 
0.7%
0.49 535
 
0.7%
0.42 472
 
0.6%
0.41 433
 
0.5%
0.4 362
 
0.5%
Other values (891) 47121
58.9%
(Missing) 26462
33.1%
ValueCountFrequency (%)
0 1
 
< 0.1%
0.09 1
 
< 0.1%
0.1 1
 
< 0.1%
0.12 1
 
< 0.1%
0.14 1
 
< 0.1%
0.16 1
 
< 0.1%
0.17 1
 
< 0.1%
0.19 4
< 0.1%
0.2 5
< 0.1%
0.21 6
< 0.1%
ValueCountFrequency (%)
12.99 1
< 0.1%
12.62 2
< 0.1%
12.41 1
< 0.1%
11.91 2
< 0.1%
11.66 1
< 0.1%
11.28 1
< 0.1%
11.27 1
< 0.1%
11.19 1
< 0.1%
11.08 1
< 0.1%
11.01 1
< 0.1%

Wind Dir
Real number (ℝ)

Missing 

Distinct24050
Distinct (%)45.8%
Missing27579
Missing (%)34.4%
Infinite0
Infinite (%)0.0%
Mean134.14963
Minimum0
Maximum360
Zeros2
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size625.6 KiB
2025-02-06T18:13:21.959833image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile29.084
Q158.38
median103.31
Q3210
95-th percentile308.35
Maximum360
Range360
Interquartile range (IQR)151.62

Descriptive statistics

Standard deviation90.444871
Coefficient of variation (CV)0.67420889
Kurtosis-0.69520279
Mean134.14963
Median Absolute Deviation (MAD)56.22
Skewness0.67826346
Sum7040843.2
Variance8180.2748
MonotonicityNot monotonic
2025-02-06T18:13:22.290564image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
130.82 95
 
0.1%
58.82 17
 
< 0.1%
210.38 13
 
< 0.1%
58.16 13
 
< 0.1%
59.38 13
 
< 0.1%
54.4 13
 
< 0.1%
245.81 13
 
< 0.1%
55.11 12
 
< 0.1%
58.93 12
 
< 0.1%
63.69 12
 
< 0.1%
Other values (24040) 52272
65.3%
(Missing) 27579
34.4%
ValueCountFrequency (%)
0 2
< 0.1%
0.04 1
< 0.1%
0.09 1
< 0.1%
0.17 2
< 0.1%
0.21 1
< 0.1%
0.23 1
< 0.1%
0.26 2
< 0.1%
0.32 1
< 0.1%
0.33 1
< 0.1%
0.35 2
< 0.1%
ValueCountFrequency (%)
360 1
< 0.1%
359.99 1
< 0.1%
359.94 1
< 0.1%
359.93 1
< 0.1%
359.92 2
< 0.1%
359.89 1
< 0.1%
359.88 1
< 0.1%
359.86 2
< 0.1%
359.84 1
< 0.1%
359.81 1
< 0.1%

Temperature
Real number (ℝ)

Missing 

Distinct2428
Distinct (%)4.6%
Missing26868
Missing (%)33.6%
Infinite0
Infinite (%)0.0%
Mean25.366582
Minimum7.7
Maximum38.28
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size625.6 KiB
2025-02-06T18:13:22.565501image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum7.7
5-th percentile16.91
Q122.29
median26.04
Q328.57
95-th percentile32.28
Maximum38.28
Range30.58
Interquartile range (IQR)6.28

Descriptive statistics

Standard deviation4.6114503
Coefficient of variation (CV)0.18179234
Kurtosis-0.32315119
Mean25.366582
Median Absolute Deviation (MAD)3.04
Skewness-0.38285624
Sum1349400.7
Variance21.265474
MonotonicityNot monotonic
2025-02-06T18:13:22.821061image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
26.91 75
 
0.1%
27.35 74
 
0.1%
26.31 74
 
0.1%
26.97 72
 
0.1%
26.59 71
 
0.1%
26.63 69
 
0.1%
27.69 69
 
0.1%
26.28 69
 
0.1%
26.67 68
 
0.1%
25.65 68
 
0.1%
Other values (2418) 52487
65.6%
(Missing) 26868
33.6%
ValueCountFrequency (%)
7.7 1
< 0.1%
9.5 1
< 0.1%
9.52 1
< 0.1%
9.6 1
< 0.1%
9.61 2
< 0.1%
9.72 1
< 0.1%
9.74 1
< 0.1%
9.75 1
< 0.1%
9.77 1
< 0.1%
9.8 1
< 0.1%
ValueCountFrequency (%)
38.28 1
< 0.1%
38.24 1
< 0.1%
38.1 1
< 0.1%
38.08 1
< 0.1%
38.06 1
< 0.1%
38.05 1
< 0.1%
38.03 1
< 0.1%
37.95 1
< 0.1%
37.81 1
< 0.1%
37.78 1
< 0.1%

RH
Real number (ℝ)

High correlation  Missing 

Distinct6531
Distinct (%)12.2%
Missing26678
Missing (%)33.3%
Infinite0
Infinite (%)0.0%
Mean76.235301
Minimum19.5
Maximum99.4
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size625.6 KiB
2025-02-06T18:13:23.083372image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum19.5
5-th percentile46.92
Q166.76
median79.13
Q387.99
95-th percentile95.78
Maximum99.4
Range79.9
Interquartile range (IQR)21.23

Descriptive statistics

Standard deviation15.00527
Coefficient of variation (CV)0.19682837
Kurtosis0.011778837
Mean76.235301
Median Absolute Deviation (MAD)10.06
Skewness-0.75878158
Sum4069897.8
Variance225.15813
MonotonicityNot monotonic
2025-02-06T18:13:23.358488image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
99.36 78
 
0.1%
99.37 54
 
0.1%
88.86 33
 
< 0.1%
82.54 29
 
< 0.1%
83.27 28
 
< 0.1%
88.91 28
 
< 0.1%
90.04 28
 
< 0.1%
87.43 27
 
< 0.1%
86.47 27
 
< 0.1%
86.87 26
 
< 0.1%
Other values (6521) 53028
66.2%
(Missing) 26678
33.3%
ValueCountFrequency (%)
19.5 1
< 0.1%
20.04 1
< 0.1%
21.07 1
< 0.1%
21.13 1
< 0.1%
21.24 1
< 0.1%
21.56 1
< 0.1%
21.79 1
< 0.1%
21.97 1
< 0.1%
22.08 1
< 0.1%
22.4 1
< 0.1%
ValueCountFrequency (%)
99.4 4
 
< 0.1%
99.39 4
 
< 0.1%
99.38 21
 
< 0.1%
99.37 54
0.1%
99.36 78
0.1%
99.35 19
 
< 0.1%
99.34 7
 
< 0.1%
99.33 23
 
< 0.1%
99.32 17
 
< 0.1%
99.31 6
 
< 0.1%

Solar Rad
Real number (ℝ)

High correlation  Missing 

Distinct22751
Distinct (%)42.6%
Missing26690
Missing (%)33.3%
Infinite0
Infinite (%)0.0%
Mean174.97589
Minimum3.12
Maximum1017.8
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size625.6 KiB
2025-02-06T18:13:23.601714image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum3.12
5-th percentile6.9365
Q17.61
median12.38
Q3306.9
95-th percentile704.4575
Maximum1017.8
Range1014.68
Interquartile range (IQR)299.29

Descriptive statistics

Standard deviation246.06203
Coefficient of variation (CV)1.4062625
Kurtosis0.47050426
Mean174.97589
Median Absolute Deviation (MAD)5.8
Skewness1.3216977
Sum9339163.2
Variance60546.523
MonotonicityNot monotonic
2025-02-06T18:13:23.850542image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
7.64 251
 
0.3%
7.57 249
 
0.3%
7.68 247
 
0.3%
7.52 245
 
0.3%
7.61 245
 
0.3%
7.63 243
 
0.3%
7.59 242
 
0.3%
7.53 240
 
0.3%
7.71 240
 
0.3%
7.79 237
 
0.3%
Other values (22741) 50935
63.6%
(Missing) 26690
33.3%
ValueCountFrequency (%)
3.12 1
 
< 0.1%
4.76 1
 
< 0.1%
4.77 1
 
< 0.1%
4.8 7
< 0.1%
4.81 1
 
< 0.1%
4.95 1
 
< 0.1%
4.99 1
 
< 0.1%
5.03 2
 
< 0.1%
5.06 1
 
< 0.1%
5.07 1
 
< 0.1%
ValueCountFrequency (%)
1017.8 1
< 0.1%
1004.64 1
< 0.1%
1001.07 1
< 0.1%
1000.11 1
< 0.1%
999.28 1
< 0.1%
998.68 1
< 0.1%
998.57 1
< 0.1%
998.47 1
< 0.1%
997.95 1
< 0.1%
996.86 1
< 0.1%

BP
Real number (ℝ)

Missing 

Distinct5005
Distinct (%)10.4%
Missing31754
Missing (%)39.7%
Infinite0
Infinite (%)0.0%
Mean1020.5737
Minimum989.19
Maximum1101.96
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size625.6 KiB
2025-02-06T18:13:24.118457image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum989.19
5-th percentile998.92
Q11004.3825
median1009.84
Q31014.25
95-th percentile1092.94
Maximum1101.96
Range112.77
Interquartile range (IQR)9.8675

Descriptive statistics

Standard deviation30.110581
Coefficient of variation (CV)0.029503584
Kurtosis1.400124
Mean1020.5737
Median Absolute Deviation (MAD)4.95
Skewness1.7737151
Sum49303914
Variance906.64708
MonotonicityNot monotonic
2025-02-06T18:13:24.362633image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1011.95 44
 
0.1%
1012.35 43
 
0.1%
1011.44 42
 
0.1%
1010.95 42
 
0.1%
1011.62 42
 
0.1%
1013.63 42
 
0.1%
1011.84 41
 
0.1%
1011.76 40
 
< 0.1%
1012.44 40
 
< 0.1%
1012.85 39
 
< 0.1%
Other values (4995) 47895
59.8%
(Missing) 31754
39.7%
ValueCountFrequency (%)
989.19 1
< 0.1%
989.3 1
< 0.1%
989.4 1
< 0.1%
989.42 1
< 0.1%
989.57 1
< 0.1%
989.73 1
< 0.1%
989.74 1
< 0.1%
989.77 1
< 0.1%
989.92 1
< 0.1%
989.96 1
< 0.1%
ValueCountFrequency (%)
1101.96 1
 
< 0.1%
1101.91 1
 
< 0.1%
1101.34 1
 
< 0.1%
1101.18 1
 
< 0.1%
1100.94 2
< 0.1%
1100.9 1
 
< 0.1%
1100.89 1
 
< 0.1%
1100.88 3
< 0.1%
1100.86 2
< 0.1%
1100.84 1
 
< 0.1%

Rain
Real number (ℝ)

High correlation  Missing 

Distinct622
Distinct (%)2.2%
Missing51172
Missing (%)63.9%
Infinite0
Infinite (%)0.0%
Mean0.24130313
Minimum0.01
Maximum25.23
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size625.6 KiB
2025-02-06T18:13:24.649372image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0.01
5-th percentile0.01
Q10.02
median0.03
Q30.04
95-th percentile1.33
Maximum25.23
Range25.22
Interquartile range (IQR)0.02

Descriptive statistics

Standard deviation0.886882
Coefficient of variation (CV)3.6753854
Kurtosis98.127888
Mean0.24130313
Median Absolute Deviation (MAD)0.01
Skewness7.7665001
Sum6971.73
Variance0.78655968
MonotonicityNot monotonic
2025-02-06T18:13:24.917489image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.02 10129
 
12.7%
0.03 6479
 
8.1%
0.04 3671
 
4.6%
0.01 1906
 
2.4%
0.05 1399
 
1.7%
0.06 356
 
0.4%
0.09 188
 
0.2%
0.1 151
 
0.2%
0.08 126
 
0.2%
0.11 123
 
0.2%
Other values (612) 4364
 
5.5%
(Missing) 51172
63.9%
ValueCountFrequency (%)
0.01 1906
 
2.4%
0.02 10129
12.7%
0.03 6479
8.1%
0.04 3671
 
4.6%
0.05 1399
 
1.7%
0.06 356
 
0.4%
0.07 77
 
0.1%
0.08 126
 
0.2%
0.09 188
 
0.2%
0.1 151
 
0.2%
ValueCountFrequency (%)
25.23 1
< 0.1%
20.74 1
< 0.1%
20.13 1
< 0.1%
20.1 1
< 0.1%
19.45 1
< 0.1%
13.97 1
< 0.1%
12.96 1
< 0.1%
12.68 1
< 0.1%
12.38 1
< 0.1%
12.16 1
< 0.1%

V Wind Speed
Real number (ℝ)

High correlation  Missing 

Distinct234
Distinct (%)3.0%
Missing72339
Missing (%)90.4%
Infinite0
Infinite (%)0.0%
Mean1.7203068
Minimum0.98
Maximum3.87
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size625.6 KiB
2025-02-06T18:13:25.167356image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0.98
5-th percentile1.12
Q11.3
median1.56
Q32.12
95-th percentile2.61
Maximum3.87
Range2.89
Interquartile range (IQR)0.82

Descriptive statistics

Standard deviation0.49742225
Coefficient of variation (CV)0.28914741
Kurtosis-0.45812484
Mean1.7203068
Median Absolute Deviation (MAD)0.34
Skewness0.66409683
Sum13289.37
Variance0.24742889
MonotonicityNot monotonic
2025-02-06T18:13:25.443403image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1.33 103
 
0.1%
1.35 103
 
0.1%
1.23 102
 
0.1%
1.4 98
 
0.1%
1.36 96
 
0.1%
1.25 96
 
0.1%
1.28 96
 
0.1%
1.24 94
 
0.1%
1.27 94
 
0.1%
1.2 92
 
0.1%
Other values (224) 6751
 
8.4%
(Missing) 72339
90.4%
ValueCountFrequency (%)
0.98 1
 
< 0.1%
0.99 3
 
< 0.1%
1 8
 
< 0.1%
1.01 9
 
< 0.1%
1.02 10
 
< 0.1%
1.03 13
 
< 0.1%
1.04 17
< 0.1%
1.05 18
< 0.1%
1.06 38
< 0.1%
1.07 32
< 0.1%
ValueCountFrequency (%)
3.87 1
< 0.1%
3.76 1
< 0.1%
3.74 1
< 0.1%
3.69 1
< 0.1%
3.5 2
< 0.1%
3.48 1
< 0.1%
3.47 1
< 0.1%
3.45 1
< 0.1%
3.43 1
< 0.1%
3.39 1
< 0.1%

Interactions

2025-02-06T18:13:07.945246image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-02-06T18:12:11.063181image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-02-06T18:12:14.113062image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-02-06T18:12:17.441633image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-02-06T18:12:21.027430image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
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2025-02-06T18:12:23.250816image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-02-06T18:12:26.302154image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-02-06T18:12:29.405919image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
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2025-02-06T18:12:36.224407image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-02-06T18:12:39.138092image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-02-06T18:12:42.118715image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-02-06T18:12:46.381425image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-02-06T18:12:51.692763image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-02-06T18:12:55.149596image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-02-06T18:12:58.310499image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-02-06T18:13:01.577463image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-02-06T18:13:06.289988image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-02-06T18:13:11.108138image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-02-06T18:12:13.375160image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-02-06T18:12:16.726629image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-02-06T18:12:20.303418image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-02-06T18:12:23.450984image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-02-06T18:12:26.494043image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-02-06T18:12:29.589475image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-02-06T18:12:32.799973image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-02-06T18:12:36.408811image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
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2025-02-06T18:12:42.334418image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-02-06T18:12:46.678518image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-02-06T18:12:51.889747image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-02-06T18:12:55.344395image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-02-06T18:12:58.535643image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-02-06T18:13:01.793834image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-02-06T18:13:06.753683image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-02-06T18:13:11.403297image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-02-06T18:12:13.553709image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-02-06T18:12:16.913211image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-02-06T18:12:20.508072image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-02-06T18:12:23.629309image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-02-06T18:12:26.664160image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-02-06T18:12:29.757035image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-02-06T18:12:33.434124image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-02-06T18:12:36.575671image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-02-06T18:12:39.493842image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-02-06T18:12:42.513465image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-02-06T18:12:46.978017image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-02-06T18:12:52.078462image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-02-06T18:12:55.535772image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-02-06T18:12:58.702784image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-02-06T18:13:02.005984image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-02-06T18:13:07.025795image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-02-06T18:13:11.754129image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-02-06T18:12:13.737015image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-02-06T18:12:17.111196image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-02-06T18:12:20.670968image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-02-06T18:12:23.804380image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-02-06T18:12:26.826306image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
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2025-02-06T18:12:33.616031image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-02-06T18:12:36.758326image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-02-06T18:12:39.654707image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
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2025-02-06T18:13:07.384490image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-02-06T18:13:12.044492image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-02-06T18:12:13.903607image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-02-06T18:12:17.287356image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-02-06T18:12:20.838380image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-02-06T18:12:23.975947image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-02-06T18:12:27.016201image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-02-06T18:12:30.130372image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-02-06T18:12:33.800997image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
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2025-02-06T18:12:39.836767image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-02-06T18:12:42.875027image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-02-06T18:12:47.509257image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-02-06T18:12:52.488625image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-02-06T18:12:55.919854image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-02-06T18:12:59.059170image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-02-06T18:13:02.425724image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-02-06T18:13:07.660826image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Correlations

2025-02-06T18:13:25.710837image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
BPCOCO 8hrNONO2O3O3 8hrPM10PM2.5RHRainSO2Solar RadTemperatureTimeV Wind SpeedWind DirWind Speed
BP1.0000.2200.2340.1590.1660.003-0.0230.4510.447-0.165-0.3080.0930.019-0.4210.106-0.3650.0460.070
CO0.2201.0000.9330.2300.303-0.346-0.0850.3370.3550.013-0.2180.425-0.158-0.2230.085-0.2520.069-0.042
CO 8hr0.2340.9331.0000.1870.159-0.332-0.2140.3680.3860.053-0.2160.452-0.150-0.3320.055-0.226-0.006-0.051
NO0.1590.2300.1871.0000.499-0.313-0.0710.3950.3790.111-0.0690.196-0.229-0.3340.042-0.355-0.079-0.224
NO20.1660.3030.1590.4991.000-0.2270.1090.5480.528-0.082-0.1450.190-0.287-0.3150.153-0.384-0.012-0.301
O30.003-0.346-0.332-0.313-0.2271.0000.723-0.055-0.134-0.491-0.0430.1100.4380.3180.1770.0310.1350.321
O3 8hr-0.023-0.085-0.214-0.0710.1090.7231.0000.2080.118-0.429-0.0430.1390.1290.2540.167-0.1450.2290.048
PM100.4510.3370.3680.3950.548-0.0550.2081.0000.943-0.254-0.3590.168-0.146-0.3930.122-0.5380.119-0.273
PM2.50.4470.3550.3860.3790.528-0.1340.1180.9431.000-0.100-0.3150.168-0.208-0.4880.129-0.5610.095-0.269
RH-0.1650.0130.0530.111-0.082-0.491-0.429-0.254-0.1001.0000.372-0.102-0.519-0.3940.2460.161-0.189-0.152
Rain-0.308-0.218-0.216-0.069-0.145-0.043-0.043-0.359-0.3150.3721.000-0.155-0.165-0.0420.0270.617-0.038-0.024
SO20.0930.4250.4520.1960.1900.1100.1390.1680.168-0.102-0.1551.0000.0070.0010.018-0.2070.0250.050
Solar Rad0.019-0.158-0.150-0.229-0.2870.4380.129-0.146-0.208-0.519-0.1650.0071.0000.3600.3800.0680.0790.166
Temperature-0.421-0.223-0.332-0.334-0.3150.3180.254-0.393-0.488-0.394-0.0420.0010.3601.0000.1880.2520.1780.204
Time0.1060.0850.0550.0420.1530.1770.1670.1220.1290.2460.0270.0180.3800.1881.0000.1240.1900.111
V Wind Speed-0.365-0.252-0.226-0.355-0.3840.031-0.145-0.538-0.5610.1610.617-0.2070.0680.2520.1241.000-0.0740.455
Wind Dir0.0460.069-0.006-0.079-0.0120.1350.2290.1190.095-0.189-0.0380.0250.0790.1780.190-0.0741.000-0.046
Wind Speed0.070-0.042-0.051-0.224-0.3010.3210.048-0.273-0.269-0.152-0.0240.0500.1660.2040.1110.455-0.0461.000

Missing values

2025-02-06T18:13:12.451340image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
A simple visualization of nullity by column.
2025-02-06T18:13:12.967237image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.
2025-02-06T18:13:13.837063image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
The correlation heatmap measures nullity correlation: how strongly the presence or absence of one variable affects the presence of another.

Sample

DateTimeSO2NONO2NOXCOCO 8hrO3O3 8hrPM2.5PM10Wind SpeedWind DirTemperatureRHSolar RadBPRainV Wind Speed
011/1/201201:00NaN4.557.5612.15NaNNaN1.06NaN27.8731.033.58203.1825.2284.167.111092.600.031.35
111/1/201202:00NaN3.415.128.55NaNNaN1.87NaN24.0331.893.22185.7224.8282.087.191092.210.031.29
211/1/201203:00NaN2.873.366.25NaNNaN2.66NaN24.8429.003.32194.0524.2682.417.111092.010.021.31
311/1/201204:00NaNNaN2.845.63NaNNaN2.97NaN20.0028.693.23193.5023.8676.527.111092.130.031.28
411/1/201205:00NaN2.933.976.93NaNNaN2.54NaN20.0919.132.91186.9023.7172.337.421092.500.021.24
511/1/201206:00NaN2.853.326.18NaNNaN2.43NaN22.6722.963.47192.8023.3980.337.901093.240.021.31
611/1/201207:00NaN3.433.667.09NaNNaN1.95NaN13.0921.943.41194.2623.3080.6180.541094.150.011.32
711/1/201208:00NaN3.413.857.25NaNNaN3.772.4115.9120.064.71205.6624.8070.75283.281095.130.041.47
811/1/201209:00NaN2.933.065.99NaNNaN7.423.2013.1021.90NaN213.1626.3265.35480.721095.920.051.59
911/1/201210:00NaN2.913.406.33NaNNaN9.474.1515.8019.07NaN211.4827.4065.73623.041096.120.031.52
DateTimeSO2NONO2NOXCOCO 8hrO3O3 8hrPM2.5PM10Wind SpeedWind DirTemperatureRHSolar RadBPRainV Wind Speed
8005412/19/2021NaNNaNNaNNaNNaN20.90NaN4.35NaN12.1139.45NaNNaNNaNNaNNaNNaNNaNNaN
8005512/19/2021NaNNaNNaNNaNNaN21.04NaN4.75NaN13.1641.12NaNNaNNaNNaNNaNNaNNaNNaN
8005612/19/2021NaNNaNNaNNaNNaN20.50NaN4.94NaN18.3448.26NaNNaNNaNNaNNaNNaNNaNNaN
8005712/19/2021NaNNaNNaNNaNNaN20.89NaN3.48NaN36.5993.96NaNNaNNaNNaNNaNNaNNaNNaN
8005812/19/2021NaNNaNNaNNaNNaN21.31NaN3.34NaN78.93155.82NaNNaNNaNNaNNaNNaNNaNNaN
8005912/19/2021NaNNaNNaNNaNNaN21.71NaN3.14NaN67.57116.30NaNNaNNaNNaNNaNNaNNaNNaN
8006012/19/2021NaNNaNNaNNaNNaN22.20NaN3.04NaN68.89121.86NaNNaNNaNNaNNaNNaNNaNNaN
8006112/19/2021NaNNaNNaNNaNNaN22.50NaN3.22NaN111.83176.50NaNNaNNaNNaNNaNNaNNaNNaN
8006212/19/2021NaNNaNNaNNaNNaN22.51NaN3.15NaN68.25112.96NaNNaNNaNNaNNaNNaNNaNNaN
8006312/20/2021NaNNaNNaNNaNNaN22.88NaN3.20NaN99.19162.79NaNNaNNaNNaNNaNNaNNaNNaN

Duplicate rows

Most frequently occurring

DateTimeSO2NONO2COCO 8hrO3O3 8hrPM2.5PM10Wind SpeedWind DirTemperatureRHSolar RadBPRainV Wind Speed# duplicates
01/1/2021NaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaN24
11/10/2021NaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaN24
21/11/2021NaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaN24
31/12/2021NaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaN24
41/13/2021NaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaN24
51/14/2021NaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaN24
61/15/2021NaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaN24
71/16/2021NaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaN24
81/17/2021NaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaN24
91/18/2021NaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaN24